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Quality Assurance Program

Quality Assurance Program. Pre-Conference. Quality Assurance Pre-Conference. FSA Assessment Case Study. “ Coming together is a beginning; Keeping together is progress; Working together is success” - Henry Ford. Session Objectives.

JasminFlorian
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Quality Assurance Program

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  1. Quality Assurance Program Pre-Conference

  2. Quality Assurance Pre-Conference FSA AssessmentCase Study

  3. “Coming together is a beginning; Keeping together is progress; Working together is success” - Henry Ford

  4. Session Objectives • Experience the Value of an FSA Assessment Activity and the Management Enhancement Form • Learn the importance of team workto resolve a finding.

  5. Group Activity

  6. Instruction Work with your table to discuss the Management Enhancement/Action Plan. If other stakeholders are needed to assist in the resolution of your plan, assign a team member to discuss issue(s) with appropriate stakeholders:Financial Aid Office, Business Office, Student, Senior Management or Computer Center

  7. Lessons Learned • Don’t Assume • FSA Assessment Activities and the Management Enhancementare valuable tools • Team Work – is a necessity

  8. FSA AssessmentRequirements for QA Schools

  9. Session Objectives • Learn where to locate the FSA Assessments • Review FSA Assessment Highlights • Introduce Policies and Procedures Component • Learn FSA Assessment requirements for QA schools

  10. Where to find the FSA Assessments Web address:We recommend that you save it as a favorite http://ifap.ed.gov/qahome/fsaassessment.html.  Or IFAP.ed.gov

  11. FSA Assessment Highlights • This Chart: Ways to use the assessments • Policies and Procedures: Ensure you are meeting minimum requirements • Management Enhancement: How to track your progress

  12. This Chart: Ways to use the FSA Assessments

  13. Beginner, Intermediate and Advanced Users Minimum Requirements Regulations Demo: Go live to the FSA Assessment Policies and Procedures

  14. QA Program Requirements for the FSA Assessments • Complete two assessments or activities • Notify QA Regional Representative of the two assessments • If applicable, complete the Management Enhancement Form

  15. Timeline for the FSA Assessments

  16. Team Building

  17. None of us is as smart as all of us. - Japanese proverb

  18. Session Objectives • Complete a Team Building Exercise • Learn the value of a team • Access Team Building Resources

  19. Activity

  20. Team Building Web Site http://www.teambuildinginc.com/tps/002.htm

  21. Mission Accomplished • Completed a team building exercise • Learned the value of a team • Found Team Building Website

  22. QA Program Pre-Conference The Detail on Data Analysis David Rhodes Anne Tuccillo

  23. “Statistics are like a bikini. What they reveal is suggestive, but what they conceal is vital.” Aaron Levenstein

  24. Session Objectives • Share program-wide analyses • Share institutional profiles • Go over your analysis requirements for 2008-09 and 2009-10 • Remind schools about verification status codes in COD

  25. Session Objectives (Cont’d) • Introduce a new “EFC Impact Analysis” standard report • Preview a new shared report • Provide tips on applying and sharing results

  26. Analysis of 2006-07 Sample Data • 132 schools • Average enrollment was 20,105 • Disbursed 11% of all Pell Grants in 2006-07 • 62,958 individual ISIR records

  27. Schools by Sector Analysisof Quality Assurance Program Sample Data: 2006–07

  28. Verification Status by Sector Analysisof Quality Assurance Program Sample Data: 2006–07

  29. Classifying the Effect of Verification on Eligibility • No change—EFC and Pell Grant Award remained the same • Major decrease—Pell Grant decreased or EFC increased at least 400 • Major increase—Pell Grant increased or EFC decreased at least 400

  30. Classifying the Effect of Verification on Eligibility (Cont’d) • Minor decrease—EFC increased less than 400 and Pell Grant remained the same • Minor increase—EFC decreased less than 400 and Pell Grant remained the same

  31. Change in Eligibility by Sector Analysisof Quality Assurance Program Sample Data: 2006–07

  32. Analysisof Quality Assurance Program Sample Data: 2006–07

  33. Analysisof Quality Assurance Program Sample Data: 2006–07

  34. Analysisof Quality Assurance Program Sample Data: 2006–07

  35. IRS and Other ISIR Data • To what degree are the corrections uncovered by verification limited to the fields addressed by a potential IRS match – adjusted gross income and taxes paid? • What portion of the changes in aid eligibility captured by current federal verification worksheets are due to adjusted gross income and U.S. taxes paid data?

  36. Types of Change Observed Analysisof Quality Assurance Program Sample Data: 2006–07

  37. Share of Estimated Change to EFC Analysisof Quality Assurance Program Sample Data: 2006–07

  38. Implications of 2006-07 Analysis • Neither school nor CPS verification was efficient; this was especially true for the most eligible aid applicants • CPS may want to consider expanding verification among records initially ineligible for Pell Grants • An IRS match involving only adjusted gross income and taxes paid will not replace the full “value” of the current verification worksheets

  39. 2007-08 Data Analysis

  40. Random Sample 2006-07 & 2008-09 Representative of all potential changes in your aid population Question of the year: Who are you missing? School Selected 2007-08 & 2009-10 Changes your verification detected Question of the year: Who are you verifying unnecessarily? Alternating Focus of QA Analysis

  41. 2007-08: School Verified Data • 141 schools with ISIR data • 141,484 individual ISIR records • 134 schools supplied a description of their verification criteria • 124 of these had 2007-08 ISIR data • 119 of these had 2006-07 ISIR data

  42. The Number of Verification Criteria at QA Program Schools Analysisof Quality Assurance Program Data: 2007–08

  43. The Relationship between the Number of Criteria and Verification Outcomes Analysisof Quality Assurance Program Data: 2007–08 & 2006-07

  44. Top 10 Data Fields Used in QA Schools’ Verification Criteria Analysisof Quality Assurance Program Data: 2007-08

  45. Observed Relationships Between School Using Indicated Data Field and Verification Outcomes Analysisof Quality Assurance Program Data: 2007-08 & 2006-07

  46. Observed Relationship Between School Using Indicated Data Field and Verification Outcomes Analysisof Quality Assurance Program Data: 2007-08 & 2006-07

  47. Common Strategies for Selecting Students for Verification Analysisof Quality Assurance Program Data: 2007-08

  48. Observed Relationship Between School Using Common Strategy and Verification Outcomes Analysisof Quality Assurance Program Data: 2007-08 & 2006-07

  49. Less Common Strategies Analysisof Quality Assurance Program Data: 2007-08

  50. Fields to consider using in your criteria EFC Student filed tax return? * Father’s income from work * Mother’s income from work * Student’s income from work Strategies to consider using in your criteria Specific values * Greater than Less than * Range Apply 2007-08 findings to your analysis * Associated with reduced ability to prevent Pell under-awards

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